Intelligence-Based Healthcare

Nyhet

An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider

Häftad, Engelska, 2026

Av Anthony Chang, Alfonso Limon, Gregg M. Gascon, Gregg M Gascon

1 929 kr

Kommande

Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider is an essential guide with an introduction to data science and artificial intelligence to provide the reader with a quick orientation and education on AI in healthcare. This book also offers a framework for success in planning, deployment, implementation, and evaluation of AI models in healthcare. In 25 chapters, Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider both introduces the reader to artificial in medicine and healthcare, and AI concepts. To render AI more understandable and relatable to the reader, case studies are used as a learning strategy to illustrate the aforementioned AI concepts. The cases implement AI in solving a very specific problem, clinical or operational, in clinical medicine or healthcare. Both cases that illustrate successful implementation of AI as unsuccessful application cases with important lessons learned are included. Each chapter can be read independently and therefore the book is a valuable resource for researchers, health professionals, postgraduate students, post doc researchers and faculty members in the fields of artificial intelligence in medicine and healthcare, and all those who wish to broaden their knowledge in the allied field.

Provides access to research of frontline leaders of close to 100 centers of AI in medicine from around the world
Couples concepts of artificial intelligence and applications of these AI tools in clinical medicine and healthcare in a way that is not overly technical
Presents case studies in a systematic manner for all stakeholders to understand in-depth thinking, a first-of-its-kind book

Produktinformation

Utgivningsdatum2026-07-01
Mått191 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieIntelligence-Based Medicine: Subspecialty Series
Antal sidor350
FörlagElsevier Science
ISBN9780443339332

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Biologi inom Naturvetenskap och teknik

Anthony Chang, MD, is a Professor, Department of Pathology, University of Chicago with a specialty in renal pathology. His research interests include the role of B and plasma cells in lupus nephritis and transplant rejection. He is past president of the Renal Pathology Society (2017) and Chicago Pathology Society (2011-2013). He has taught more than 30 educational courses at the annual meetings for the American Society Clinical Pathology, College of American Pathologists, US & Canadian Academy of Pathology, American Society of Nephrology, American College of Rheumatology, and American Urological Association.Alfonso Limon, Ph.D., is a principal at Oneirix, a consulting company developing market-leading technologies in computational intelligence for med-tech. Before joining Oneirix, Dr. Limon served as Director of Research at Intersection Medical, leading the development of algorithms for decision support systems to manage congestive heart failure. Before his work in industry, Dr. Limon was a Visiting Professor of Mathematics at Pomona College and a post-doctoral fellow at Harvey Mudd College in the math department and holds several impedance spectroscopy patents. Alfonso is part of the American Board of Artificial Intelligence in Medicine, an Associate Editor of Intelligence-Based Medicine, and the Computational Science Research Center Board Chair at SDSU.

1. Introduction2. Brief History of Artificial Intelligence3. Reflection and Update on AI in Medicine and Healthcare4. Topics5. Definitions6. Machine Learning Supervised, Unsupervised, Semi- and Self-Supervised7. Deep Learning Neural Nets and Transformers8. Reinforcement Learning9. Generative Artificial Intelligence10. Natural Language Processing11. Cognitive Computing12. Robotic Process Automation13. Regulation, Ethics, Adoption, and Legal (REAL) Issues14. Implementation Science15. Miscellaneous Topics16. Why Adoption of AI in Healthcare Has Been Challenging17. Framework for Successful Adoption of AI in Healthcare18. How to Pursue a Basic to Advanced Education on Artificial Intelligence19. How to Build Data, IT, and AI Infrastructure20. How to Start a Center of Artificial Intelligence21. Future of Artificial Intelligence and Health22. Compendium23. Glossary24. Top 100 Articles of AI in Healthcare25. Book Recommendations